Generative AI
GenAI
An overview
Generative AI
AI systems that can produce high quality content, specifically text, images and audio
General purpose technology: like electricity, and AI
- web based: chat-gpt, bard, …
- software based
History of LLM
- ELiza (1960s), pattern matching. Encourages introspection, creating the illusion of understanding to make people feel heard
- 2010s, GPT - generative pre-trained transformer by OpenAI
- GPT2 (2018)
- GPT3 (2020)
- GPT4
- LlaMA by Meta
Prompt engineering
Write, refine, optimize prompts; perfect the interaction between humans and AI; continuously monitor these prompts; maintain an up-to-date prompt library
Prompting guide
- give clear, specific prompt with context
- ask to include sources
- avoid leading the answer such that the answer is biased
Quality of the results
- accuracy
- unbiased
- sufficient information
- consistency if using the same prompt multiple times
Shot (examples): zero shot, one shot, few shot prompting (need to provide follow up information to make the answer more customized)
Chain of thought prompting: break down a large task into smaller sub-tasks